Our mission:

Build a Strong Artificial Intelligence re-creating Human Intelligence in all

© 2016 CyberMind Technology, Inc. Proprietary & Confidential

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We create Strong AI (also known as Artificial General Intelligence). The AI that could successfully perform any intellectual task that a human being can.

What we do

OUR TECHNOLOGY - UNIVERSAL INTELLIGENCE • Communication based on natural language without any limits,

incl. context • Understanding any content, incl. fiction and professional texts • Psychologically perfect matching for a user, incl. ability to

teach at professional level • Ability to re-create a real person, for example, Steve Jobs, Kim

Kardashian, Justin Bieber,, etc.

Not our technology: • Imitation of

Intelligence • Chat-bots • Narrow solution, as

software for “Go” game

OUR PRODUCTS - UNIVERSAL INTELLECTUAL ACTIVITY • Any communications and assistance, incl. Personal

assistant, online assistant, call centers assistant, etc. • Software developing through AI • Engineering application through AI

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How we do

CONCEPT We completely duplicate human mentality, structure and processes., i.e. the way a person thinks, what concepts he/she operates, the processes as the grounds for a person to make conclusions and to learn something new. As well we duplicate needs and emotions. We use our inventions, results of experiments and research we have been conducting from 2008.

SOFTWARE AI is implemented by the software in the form of a semantic network, with its nods being concepts, while connections between them reflect the specifics of inter-relations among these concepts.

ARCHITECTURE The technology architecture contains the three clusters of database operations: the algorithms of forming new concepts and connections (using both text and/or dialog data), algorithms of obtaining responses to questions, and algorithms of database optimization. Plus a few separate clusters of algorithms for the auxiliary processes: speech to text processing conversion (and vice versa), algorithms of conversion of content videos to the database conceptual framework of the database, and motion behavior control algorithms.

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Market

The shortage of software developers in Europe, USA and Canada will create a market for Software developing application through AI of more than $ 30 B by 2019.

TECHNOLOGY MARKET

The robots and AI solutions market will grow to $ 153 B by 2020 including $ 83 B for robots, and $ 70 B for AI-based analytics (source: Bank of America Merrill Lynch). Our technology will be used in both segments. PRODTUCTS MARKET

The Digital assistants market will grow form $ 585 M in 2014 to $ 8,1 B by 2024 (source: BCC research).

The Expert systems market will grow form $ 3,5 B in 2014 to $ 12,4 B by 2024 (source: BCC research).

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Competition & Differentiation

Potential competitors IBM, Apple, Google, Facebook But they have not even announced fully functional AI technology. Now they just manage to get chat-bot that hates feminists, or application-specific solutions, which can play Go, but cannot read textbook and learn something.

Why we are the leader A basis of our technology is general-purpose intelligence, capable to understand human, as a person can understand another one. The conclusions of this intelligence will be understood by human. Due to ability for general-purpose intellectual activity, our solution will be the most in-demand at B2B & B2C markets.

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А) Developing of products based on the technology platform.

B) SaaS on vendors’ access to the AI platform.

We will create ecosystem of product developers around our technological platform. As a result, the products with our technology will be the first at the market, and we will involve a lot of companies and ideas to promote and develop our platform.

Business Model / Strategy

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Fundraising

Feb 2014, pre-seed Revenue in 2014-2015

Technology architecture

Algorithms of the basic functions

Verification of solutions

Now, seed-round

Extension of team

AI training

Completion of works on creation the functional AI Prototype

Next step - round A

Creation of the full functional AI technology

Personal assistant based on AI Software developing application through AI Engineering application through AI

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What we have done

we managed to enhance the search relevance figure for 16% the forecast precision of the user's emotions onto the yet non-read news content was 82% we managed to reduce the CPC ratio 8.5 times

We have verified the developed solutions

Basic technical solutions Human mentality basic architecture realization Algorithms reflecting basic level of cognitive processes, emotional behavior Architecture of Memory structures Algorithms reflecting basic level of need and drive system functioning Age-based individual memory infilling process and its description in database terms Algorithms reflecting basic level of learning process

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What we do now

Integration into the single system Developed algorithms, database and particular algorithms clusters Stages of training AI The first - uploading data into AI which a human is receiving during preverbal phase of growth. The second - AI reading texts for children aged 7 and to communicate with experts providing training Further stages will include teaching AI to be an individual and to express emotions. The first fully functional AI prototype with intelligence level equal to a child aged 5-7 Up to June 2016, we plan to develop AI and we assume that AI will be the first to pass IQ-test of Wechsler Preschool and Primary Scale of Intelligence and Winograd Schema Challenge.

• IQ level corresponds to a pupil aged 5-7 • Basic knowledge about world • “Reading” simple texts, i.e. ability to assimilate and use information • Ability to answer simple questions

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2017 Completion of work on Strong AI technology development. Development Personal assistant based on AI

• Communication based on natural language without any limits, incl. context • Understanding any content, incl. fiction and professional texts • Psychologically perfect matching for a user, incl. ability to teach at professional level • Ability to re-create a real person, for example, Steve Jobs, Kim Kardashian etc.

2018 Development Software developing application through AI • Understanding tasks stated via natural language • Coding according to tasks • Interaction with other software to increase or to change functions

Development Engineering application through AI

• Combination of interaction with experts via natural language and processing of big volumes of formal data

What we will do in the near future

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The core of our team is formed by highly-qualified psychologists and psychoanalysts (incl. Prof., PhDs), mathematicians and linguists. All our team comprises 15 experts from Ukraine, Canada, and Germany.

Team

Roman Orekhov, CEO - serial entrepreneur/executive, 15+ years' experience from startups to 600+ employees and FDA approved products, implementing the projects with wide range of partners incl. global companies such as Samsung.

Alexander Holovan, CTO - 12+ years' experience in implementing of the projects at the intersection of psychology and IT, Master's degree, Psychology, Senior Lecturer, member of Ukrainian Umbrella Association of Psychotherapy (European Association for Psychotherapy member).

Maryna Svitasheva, Technical Lead - PhD, Registered Psychotherapist of College of Registered Psychotherapists of Ontario, author of 5 scientific papers.

Sergiy Svitashev, Technical Lead - PhD, Registered Psychotherapist of College of Registered Psychotherapists of Ontario, author of 21 scientific papers and author of the book "Psychotherapy And Cognition".

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We are building the Next Big Thing. Welcome.

Roman Orekhov, CEO roman.orekhov@cybermind.technology www.cybermind.technology